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基于深度学习的后期噪声降低改善了四分之一辐射剂量的冠状动脉CT血管学

Tomoro Morikawa1, Tatsuya Nishii2, Yuki Tanabe1

  • 1Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan.

European journal of radiology
|June 12, 2025
PubMed
概括

基于深度学习的降噪显著提高了四分之一剂量的冠状动脉CT血管造影 (CCTA) 图像质量. 这种基于深度学习的降噪可以提高冠状动脉疾病评估的诊断准确性.

关键词:
电脑图像扫描血管造影 CT血管造影计算机辅助图像处理 图像处理冠状动脉疾病是一种冠状动脉疾病.深度学习是一种深度学习.

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